How Waikay and EntityMap Helped Strengthen a Medical Brand’s AI Credibility in Just One Month

What happens when AI knows your brand exists but doesn’t fully understand why it should trust you?

That’s the challenge SEO and AI search consultant Joeri Vanhamel tackled for a medical device company and the results offer valuable insights for any business looking to improve its visibility and credibility in AI-generated answers.

In a recently published case study, Joeri explains how he combined Waikay, EntityMap, and verifiable expertise signals to help strengthen the company’s digital authority and improve how AI models understood its brand.

The Challenge: Great Content, Limited AI Recognition

The medical device company already had high-quality, medically reviewed content, knowledgeable authors, and a strong online presence.

Yet AI models weren’t consistently citing its articles or product pages.

Using Waikay’s AI Knowledge Map and brand analysis capabilities, Joeri discovered an important disconnect: AI models understood what the company sold but struggled to connect the brand with verifiable expertise, authority, and trustworthiness.

The problem wasn’t necessarily the quality of the content. It was the lack of clear, machine-readable evidence supporting the company’s credibility.

The Solution: Diagnose, Improve, Measure

Joeri implemented a strategy built around three complementary elements:

• Waikay for diagnosis and monitoring: Identifying gaps between what AI models believed about the brand and what its website communicated, while tracking brand facts, sources, and AI Knowledge Scores.
• EntityMap for structured knowledge: Connecting the brand, its medical experts, products, industry standards, and regulatory information through structured, verifiable relationships.
• Verifiable author credentials: Strengthening medical authors’ profiles with consistent identities, structured data, professional qualifications, and external verification links.

Together, these improvements made the company’s expertise and supporting evidence easier for search engines and AI systems to interpret.

The Results: A Remarkable Improvement in AI Knowledge Alignment

In just one month, the company’s Gemini non-grounded AI Knowledge Score increased by 56 points, reflecting significantly stronger alignment between the topics identified on its website and Gemini’s existing understanding of the brand.

Importantly, this doesn’t mean Gemini was retrained with the new information. The improvement reflects greater consistency between the brand’s website knowledge and the model’s responses. Joeri also acknowledges that the results demonstrate correlation rather than proven causation.

Beyond the Knowledge Score, Waikay helped uncover additional issues affecting the brand’s AI presence:

• Broken URLs appearing in AI-generated citations, which could be addressed through relevant redirects.
• Inaccurate product pricing originating from outdated external listings.
• Inconsistent brand information across sources, creating opportunities to strengthen factual accuracy.

These discoveries turned AI monitoring into an actionable optimization process.

The Bigger Lesson: AI Visibility Starts With Verifiable Knowledge

This case study highlights an important shift in AI search optimization.

Simply producing more content isn’t enough. Brands increasingly need to ensure their expertise, identity, and factual information are clearly structured, consistent, and independently verifiable.

It also illustrates a practical workflow for improving AI visibility:

Diagnose with Waikay → Strengthen knowledge with EntityMap → Verify credibility → Measure with Waikay.

For organizations operating in sensitive sectors such as healthcare, finance, and legal services, where trust is particularly important, this approach offers a valuable framework for building a stronger AI presence.

As Joeri’s experience demonstrates, understanding what AI already knows about your brand can be just as important as deciding what content to publish next.

Read the Full Case Study

Discover Joeri Vanhamel’s complete methodology, the improvements he implemented, and the results tracked through Waikay.

Read the original case study: How I Got AI to Trust a Medical Device Company in One Month